The stable-diffusion model with negative prompts and an improved scheduler has various potential use cases for technical applications. For instance, it could be used in e-commerce platforms to generate product images based on textual descriptions, reducing the need for expensive product photography. It could also find applications in the gaming industry, enabling the quick generation of visually stunning assets based on game design concepts. Moreover, this model could be employed in architectural and interior design, allowing professionals to visualize their designs accurately without the need for extensive rendering processes. Additionally, it could be utilized in virtual reality applications, where realistic and immersive environments can be generated based on textual input. Potential products or practical uses of this model include an API or a software tool that integrates with image editing software, design tools, or game development platforms, making it easy for developers and designers to generate high-quality images based on text prompts.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Compositional Vsual Generation With Composable Diffusion Models Pytorch||$0.01155||774|
You can use this area to play around with demo applications that incorporate the Stable Diffusion model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Stable Diffusion|
stable-diffusion with negative prompts, more scheduler
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.0115|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||5 seconds|